Computer Science and Engineering (Courses: 132, Lectures: 6,179, Pages: 1,07,083)

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NPTEL Video Course Lecture Format : PDF

Total no. of NPTEL Video Courses : 132

Total no. of NPTEL Video Lectures : 6,179

Total no. of Printable Pages : 1,07,083

Storage Media Type: USB Pendrive

Capacity: 32 GB

Lectures List: https://www.digimat.in/downloads/topics/computer-science-and-engineering.pdf

** List of Available Courses (as PDF) **

  1. Artificial Intelligence (Prof. Deepak Khemani)
  2. Artificial Intelligence (Prof.P. Dasgupta)
  3. Artificial Intelligence (Prof. Sudeshna Sarkar)
  4. Biometrics
  5. Combinatorics
  6. Compiler Design (Prof. S.K Aggarwal)
  7. Compiler Design (Prof. Y. N. Srikant)
  8. Computational Geometry
  9. Computer Algorithms - 2
  10. Computer Architecture (Prof. Anshul Kumar)
  11. Computer Architecture (Prof. Mainak Chaudhuri)
  12. Computer Graphics
  13. Computer Networks
  14. Computer Organization
  15. Cryptography and Network Security
  16. Database Design
  17. Data Communication
  18. Data Structures And Algorithms
  19. Design and Analysis of Algorithms
  20. Design Verification and Test of Digital VLSI Circuits
  21. Discrete Mathematical Structures
  22. Electronic Design Automation
  23. Fundamental Algorithms-Design and Analysis
  24. Graph Theory
  25. High Performance Computer Architecture
  26. High Performance Computing
  27. Internet Technology
  28. Introduction to Computer Graphics
  29. Introduction to Problem Solving and Programming
  30. Logic for CS
  31. Low Power VLSI Circuits and Systems
  32. Natural Language Processing
  33. NOC-Advanced Graph Theory
  34. NOC-AI-Constraint Satisfaction
  35. NOC-Algorithms for Big Data
  36. NOC-An Introduction to Probability in Computing
  37. NOC-Artificial Intelligence- Knowledge Representation and Reasoning
  38. NOC-Big Data Computing
  39. NOC-Blockchain Architecture Design and Use Cases
  40. NOC-Cloud Computing
  41. NOC-Cloud Computing and Distributed Systems
  42. NOC-Compiler Design
  43. NOC-Complex Network - Theory and Application
  44. NOC-Computer Architecture and Organization
  45. NOC-Computer Architecture (Prof. Madhu Mutyam)
  46. NOC-Computer Architecture (Prof. Smruti Ranjan Sarangi)
  47. NOC-Computer Networks and Internet Protocol
  48. NOC-Computer Organization and Architecture
  49. NOC-Computer Organization and Architecture - A Pedagogical Aspect
  50. NOC-Data Base Management System
  51. NOC-Data Mining
  52. NOC-Data Science for Engineers
  53. NOC-Deep Learning
  54. NOC-Deep Learning - Part 2
  55. NOC-Design and Analysis of Algorithms
  56. NOC-Design and pedagogy of the introductory programming course
  57. NOC-Discrete Mathematics
  58. NOC-Discrete Structures
  59. NOC-Distributed Systems
  60. NOC-Embedded System Design with ARM
  61. NOC-Embedded Systems Design
  62. NOC-Embedded Systems-Design Verification and Test
  63. NOC-Functional Programming in Haskell
  64. NOC-Fundamentals of Database Systems
  65. NOC-Hardware Modeling using Verilog
  66. NOC-Hardware Security
  67. NOC-Information Security 5 - Secure Systems Engineering
  68. NOC-Information Security - II
  69. NOC-Information Security - III
  70. NOC-Information Security - IV
  71. NOC-Internetwork Security
  72. NOC-Introduction to Algorithms and Analysis
  73. NOC-Introduction to Automata, Languages and Computation
  74. NOC-Introduction to Cryptology
  75. NOC-Introduction to Human Computer Interaction
  76. NOC-Introduction to Industry 4.0 and Industrial Internet of Things
  77. NOC-Introduction to Information Security - I
  78. NOC-Introduction to Internet of Things
  79. NOC-Introduction to Machine Learning
  80. NOC-Introduction to Machine Learning (Sponsored by Arihant)
  81. NOC-Introduction to Modern Application Development
  82. NOC-Introduction to Operating Systems
  83. NOC-Introduction to Parallel Programming in OpenMP
  84. NOC-Introduction to Programming in C
  85. NOC-Introduction to Soft Computing
  86. NOC-Introduction to Wireless and Cellular Communications
  87. NOC-Machine Learning for Engineering and Science Applications
  88. NOC-Mobile Computing
  89. NOC-Model Checking
  90. NOC-Modern Algebra
  91. NOC-Multi-Core Computer Architecture-Storage and Interconnects
  92. NOC-Natural Language Processing
  93. NOC-Object-Oriented Analysis and Design
  94. NOC-Parallel Algorithms
  95. NOC-Privacy and Security in Online Social Networks
  96. NOC-Problem Solving through Programming in C
  97. NOC-Programming and Data structures (PDS)
  98. NOC-Programming, Data Structures and Algorithms
  99. NOC-Programming, Data Structures and Algorithms (Aricent)
  100. NOC-Programming, Data Structures and Algorithms in Python
  101. NOC-Programming in C++
  102. NOC-Programming in Java
  103. NOC-Randomized Algorithms
  104. NOC-Real Time Operating System
  105. NOC-Reinforcement Learning
  106. NOC-Scalable Data Science
  107. NOC-Social Networks
  108. NOC-Software Engineering
  109. NOC-Software Testing (Prof. Meenakshi D’Souza)
  110. NOC-Software Testing (Prof. Rajib Mall)
  111. NOC-Switching Circuits and Logic Design
  112. NOC-Synthesis of Digital Systems
  113. NOC-The Joy of Computing using Python
  114. NOC-Theory of Computation
  115. NOC-VLSI Physical Design
  116. NOC-Wireless Ad Hoc and Sensor Networks
  117. Numerical Optimization
  118. Parallel Algorithm
  119. Parallel Computing
  120. Pattern Recognition
  121. Performance Evaluation of Computer Systems
  122. Principles of Compiler Design
  123. Principles of Programming Languages
  124. Programming and Data Structure
  125. Real Time Systems
  126. Riemann Hypothesis and its Applications
  127. Software Engineering
  128. Storage Systems
  129. System Analysis and Design
  130. Theory of Automata, Formal Languages and Computation
  131. Theory of Computation
  132. Virtual Reality
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